After putting flies on tiny spherical treadmills, scientists found that humans and flies share a similar strategy to view moving objects.

“What’s really exciting to me is that no one would have expected this deep similarity between two animals that are so evolutionarily different,” says Thomas Clandinin, an associate professor of neurobiology at Stanford University and one of the authors of the study, which was published this month in the journal Nature Neuroscience.

The last common ancestor of flies and humans lived more than 500 million years ago when the planet looked quite different. Nonetheless, repeated patterns in the natural environment led ancestors of both organisms to evolve similar strategies to sense movement.

How the brain evolves

It is likely this model evolved twice–once in a human ancestor and once for a fly ancestor–because flies and humans are so far apart on the evolutionary tree, according to neurobiologist Damon Clark, a lead author of the paper.

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Despite the fact that the brains of humans and flies are quite different, they analyze motion in similar ways. Clark, now a professor at Yale University, was a Stanford postdoctoral researcher in Clandinin’s group when he worked on the project.

Scientists know quite a bit about how the eye detects light. However, they don’t completely understand how the brain translates a series of chemical signals into an image. The research team examined motion perception in flies and humans to learn more about the visual system and the brain’s problem-solving strategies.

“The big question is really ‘How does the brain evolve?'” says Anthony Norcia, an author of the paper and a Stanford professor of psychology.

The study suggests there may be an optimal way to view natural moving objects that share fundamental properties, Clark says. By statistically modeling these properties, theoretical neuroscientist James Fitzgerald, also a lead author of the paper, was able to develop a framework to test these theories.

Speed, direction, brightness

Both humans and flies discern three types of information about a moving object: its speed, direction of motion, and brightness. Previous models were flawed because they discarded information about brightness, Norcia says.

The team tested its theories in both humans and flies.

In Norcia’s lab, volunteers watched videos while researchers monitored their scalp electroencephalogram (EEG) signals. They also answered questions about their perception of motion based on the videos.

But to test flies, researchers couldn’t just ask them which way an image was moving. Instead, Clark says, they capitalized on a known fly trait: flies turn in the direction of motion.

Clark tethered flies to sticks, posed them on tiny spherical treadmills, and then screened videos while monitoring their movements.

Fitzgerald, who was previously a graduate student at Stanford and is now a postdoctoral fellow at Harvard University, says he chose to study motion in flies because it could be possible to pinpoint the neural networks involved.

“The ultimate hope is by finding an example of how flies solve this particular problem, it could give us some insight into how the brain solves problems more generally,” Fitzgerald says.